Research Article

Reducing Bias in Beta Regression Models Using Jackknifed Liu-Type Estimators: Applications to Chemical Data

Table 2

SBs of estimators for different values of , and .

BREBLEBLTEBJLTEBMJLTEBREBLEBLTEBJLTEBMJLTE

500.900.00680.00970.00700.00270.00630.00290.00770.00320.00030.0019
0.950.00510.00740.00520.00190.00440.00350.00190.00370.00250.0034
0.990.00460.01450.01080.00110.00340.00670.00300.00820.00160.0026
1000.900.00830.02100.00560.00150.00360.00160.00970.00230.00030.0019
0.950.00590.01340.00630.00310.00580.00170.00790.00140.00040.0012
0.990.00460.02700.00640.00350.00440.00190.00790.00460.00040.0022
2000.900.00380.02820.00360.00130.00260.00040.00960.00090.00010.0005
0.950.00350.01840.00340.00140.00400.00110.01310.00110.00030.0009
0.990.00440.00610.00610.00410.00450.00150.00680.00210.00120.0014

500.900.01410.05210.01480.00880.01020.00230.00850.00350.00120.0013
0.950.01500.30490.01680.01010.01280.00240.00870.00310.00170.0026
0.990.01792.88940.01760.01560.01620.00390.09160.00650.00350.0045
1000.900.01610.01340.01660.01090.01300.00400.00810.00430.00230.0034
0.950.01690.03160.01920.01510.01860.00330.01120.00450.00280.0041
0.990.02281.21820.02030.01720.01860.00710.01420.00400.00320.0035
2000.900.01880.02310.01640.01190.01340.00400.00940.00370.00220.0032
0.950.01910.02510.01900.01530.01200.00400.01350.00400.00280.0039
0.990.01890.11540.02060.01960.02010.00530.00970.00480.00440.0046

500.900.08310.28120.08290.07720.08030.06810.28120.06680.06480.0665
0.950.09780.77630.09550.09380.09480.08780.77630.08650.08500.0858
0.990.11047.61940.11240.11030.10230.11047.61940.11040.10160.1007
1000.900.07120.24310.16190.05810.06450.08030.02950.07410.07030.0726
0.950.08730.79900.15420.07660.07860.08640.06080.09140.08980.0903
0.990.10906.87200.10290.10070.08900.11096.87200.11220.11070.1005
2000.900.07670.22490.12130.05150.05550.07670.22490.07400.06980.0717
0.950.09070.69410.14920.06660.06930.09170.09410.09180.08890.0910
0.990.11090.16630.10070.08030.07510.11090.16630.10560.10250.1001